Subventions et des contributions :

Subvention ou bourse octroyée s'appliquant à plus d'un exercice financier (2017-2018 à 2021-2022).

This research project focuses on novel optimization technique for ultra-dense networks. We consider a dense deployment of cellular access-points and/or device-to-device links, where multiple transmit and receive pairs mutually interfere with each other, and propose a novel method for spectrum sharing based on an optimization technique called fractional programming. The proposed method is capable of efficiently finding locally optimal solutions to the coordinated scheduling, beamforming, and power control problem across the entire network. Numerically, the fractional programming solution is iterative in nature, but each iteration step typically involves a closed-form solution and is therefore easy to implement. Optimized coordinated transmission is the key to ensuring spectrally compatible bandwidth sharing in ultra-dense networks. As a concrete application, the proposed research will investigate fractional programming based coordinated scheduling scheme for cellular networks with flexible duplex capability, where simultaneous transmissions in uplink and downlink can significantly improve area spectral efficiency. The proposed research will also apply the fractional programming technique to the optimization of spatial multiplex and nulling in large-scale multiple-antenna systems. The proposed method can also be applied to the optimal scheduling of relay links for interference cancellation in cellular networks. Finally, the proposed research will investigate signaling and channel state acquisition strategies to allow distributed implementation of fractional programming techniques. The wireless industry is undergoing profound transformation in the upcoming Big Data era. The introduction of network intelligence in optimizing and adapting network operations dynamically and in real-time will be a key technological step in meeting the increasing demands in important application areas such as smart home, smart office, smart city, and self-driving cars.x000D
x000D
x000D
x000D
x000D
x000D